R&D World magazine honors inventors by identifying the 100 most technologically significant products and advancements each year and recognizing the winning innovators and their organizations. Winners are chosen from an international pool of submissions from universities, private corporations, and government labs.
In 2023, Sandia researchers took home six R&D 100 Awards including one joint project with Los Alamos National Laboratory and one special recognition. Since 1965, Sandia has earned 157 awards, including this year’s winners — often referred to as the “Oscars of invention” or “the Nobel Prizes of technology.”
2023 winners
Pre-Symptomatic Volatile Organic Compounds Detector of Seizure Events
Analytical/Test – Winner
![The Pre-Symptomatic VOC Detector of Seizure Events is a portable instrument that can alert the wearer to an imminent seizure more than 20 minutes before it occurs.](https://www.sandia.gov/app/uploads/sites/156/2023/10/RD-Seisure1_1000.jpg)
This invention improves the lives of people with epilepsy. The wearable detector identifies skin-emitted gasses that indicate an episode is imminent. A feat never before accomplished by technology — some dogs do it naturally, with the drawback they have to be present at the right time — the detector’s pre-symptomatic warning enables the wearer to seek shelter and to communicate with family and health care providers before the seizure occurs. This dramatically lessens the stress of those formerly at the mercy of these unpredictable events.
The device when commercialized will function by constantly sampling gasses emitted from the wearer’s skin and analyzing them automatically without the wearer’s input or engagement. Upon detection of volatile organic compounds specific to seizures, the device will alert both the wearer and their care circle.
The instrument comprises several system devices made in Sandia’s silicon microfabrication facility. A chemical pre-concentrator collects and stores the volatile organic compounds. Chemical separation takes place in a two-dimensional micro gas chromatography device. Detection is performed with a miniature ion mobility spectrometer. When these components are combined at a system level, their total volume — about that of a midsize novel — and weight — 1.5 pounds with battery — are amenable to being worn on the body.
META Optics Studio
Software/Services – Winner
![This software package enables the rapid design and optimization of large-scale meta-optics for integration into optical imaging systems.](https://www.sandia.gov/app/uploads/sites/156/2023/10/RD100_Meta-Optics-Studio1_1000x563.jpg)
META Optics is a software package built for the design, simulation and optimization of flat meta-surfaces, which are artificial structures used to engineer the light wavefront for enhanced focusing, phase correction and removal of aberrations. If designed correctly, a metalens can perform the function of a highly focusing, high-speed traditional lens while being a fraction of its weight and absolutely flat. This has revolutionized the field of optical imaging and extended its possibilities by severely reducing size, weight and power requirements while extending the imaging resolution to well below the subwavelength limit. META Optics Studio is the only known software capable of simulating a centimeter-sized meta-surface at nanometer resolution within a few hours.
Materials Learning Algorithms
Software/Services – Winner
![This software framework uses machine learning to predict the electronic structure of materials faster and at greater scales than what was previously feasible.](https://www.sandia.gov/app/uploads/sites/156/2023/10/RD100_MALA-Materials-Learning-Algorithms1000x563.jpg)
The Materials Learning Algorithms is a software framework that uses machine learning to predict the electronic structure of materials. Electronic structure is fundamental for understanding virtually all molecular and material properties. The software enables these calculations at length and time scales that were previously unfeasible.
Density functional theory, for which the Nobel Prize was awarded in 1998 is the most heavily used approach for electronic structure calculations. However, the method is complex, expensive and limited to small scales because the computation cost increases cubically with the system size. Machine Learning Algorithms is focused on solving the limitations of density functional theory using machine learning.
The key questions that the software addresses are, “Can machine learning help accelerate these first-principle electronic structure calculations?” and “Can this approach be more scalable with respect to system size?” The methods developed in the framework answer both these questions in the affirmative, demonstrating a 5,000-time speedup on systems feasible with DFT.
Materials Data-Driven Design
Special Recognition: Market Disruptor / Services – Silver medal
![This project enables manufacturers to account for the internal structure of materials when shaping and forming a part for the first time by leveraging a proprietary deep learning model.](https://www.sandia.gov/app/uploads/sites/156/2023/10/RD100_Material-Data-Driven-Design-MAD3-Software-Solution_1000x563.jpg)
MAD3 is an innovative software that leverages the power of machine learning to modernize the forming and stamping processes of sheet metals. It predicts the parameters that characterize the directional mechanical behavior of a metal alloy 1,000 times faster than existing solutions. As a result, the software significantly reduces expensive and time-consuming forming and stamping trials.
More explicitly, metal alloys such as aluminum or steel used in various manufacturing processes like stamping and forming exhibit directional strength and formability that cause the metal to distort. The reaction, called plastic anisotropy, determines whether the material is capable of being shaped to the desired component fit and finish, and whether it will withstand the applied performance load. As a result, accurate predictions of the metal’s plastic anisotropy are crucial in major manufacturing and supported by automotive and aerospace metal manufacturers as well as suppliers.
However, the cost of characterizing plastic anisotropy has skyrocketed because characterization requires specialized equipment and significant technical expertise. The software uses state-of-the-art data-driven and machine-learning techniques to first extract a unique fingerprint descriptor of the metal alloy’s internal structure, then subsequently uses these descriptors to predict the plastic anisotropy parameters in an accurate and efficient manner.
These anisotropy parameters can be used to perform forming and stamping simulations with unprecedented accuracy since they incorporate the effect of the polycrystalline grain structure.
PowerModelsONM: Optimizing Operations of Networked Microgrids for Resilience
Software/Services – Winner
![Utilities can use PowerModelsONM to plan for networked microgrids to support rapid recovery during extreme-event-induced grid outages model.](https://www.sandia.gov/app/uploads/sites/156/2023/10/RD100_PowerModels-ONM_1000x563.jpg)
PowerModelsONM software optimizes networked microgrids for power restoration during blackouts and other extreme events. It is the only physics-based optimization software package featuring networked microgrids for modeling restoration of electric power distribution feeders.
Utilities can use PowerModelsONM to plan for networked microgrids to support rapid recovery during extreme-event-induced grid outages. Superior validation is achieved using utility data sets for software simulation and hardware-in-the-loop experiments. Sandia is a partner on PowerModelsONM with Los Alamos National Laboratory, National Renewable Energy Laboratory and National Rural Electric Cooperative Association.
Electro3D
Process/Prototype – Winner
![Electro3D allows for new and exciting possibilities in the world of electrochemical metal 3D printing. Not only does it allow users to print materials into less extreme environments, but it eliminates cost and transport limitations that no other technology can offer. With Electro3D, 3D metal printing can enable endless new possibilities for users.](https://www.sandia.gov/app/uploads/sites/156/2023/10/RD100_Electrochemical-Additive-Manufacturing-Electro-3D100x563.jpg)
Electro3D is an additive process that leverages fluidics with electrochemistry to produce high-quality materials and parts rapidly. The technology could serve many sectors, especially printed electronics, because materials such as copper can be printed at the room temperatures and pressures at which Electro3D performs.
The process also can be used to analyze and even build materials through an electrodeposition printhead that reduces mass transport losses. The printhead attached to commercial robots or 3D printing stages has the potential to be a more energy-efficient and economical pathway to generate materials and parts than currently available methods. The technology is scalable, deployable and has the potential to print multimaterials (metals, semiconductor, polymers) with rapid transition.
The custom printhead dramatically increases the replenishment rate of the electrolyte in the deposition area, which improves the uniformity and rate of the material deposited. The deposition is controlled by tuning the fluidics, current and voltage that drive the electrodeposition reaction. This information is fed into a feedback loop that moves the printhead based on real-time feedback of deposition conditions, which is critical to achieve the desired material properties and geometry of the part.
Previous winners
![](https://www.sandia.gov/app/uploads/sites/156/2023/09/rd100_usteams-1024x721.jpg)
Ultra-Stable Thermally Excellent Advancements in Material Strength
![Sandia National Laboratories researcher Todd Monson, along with co-developers at the University of California, Irvine, won an R&D 100 award for Iron Nitride Soft Magnetics](https://www.sandia.gov/app/uploads/sites/156/2022/11/rd100-3.jpg)
Iron Nitride Soft Magnetics
![Sandia National Laboratories researcher Vince Urias and his team won an R&D 100 Award for the Automated Threat Estimator for Networks and Applications.](https://www.sandia.gov/app/uploads/sites/156/2022/11/rd100-2.jpg)
Automated Threat Estimator for Networks and Applications
![](https://www.sandia.gov/app/uploads/sites/156/2023/09/rd100_Shamina-1-1024x749.jpg)
Proactive Intrusion Detection and Mitigation System
![Sandia National Laboratories manager William Waugaman oversaw the development and demonstration for MOSAICS](https://www.sandia.gov/app/uploads/sites/156/2022/11/rd100-5-edited.jpg)
MOSAICS
![REMOTE CONTROL — Secure-Firmware Over-the-Air can allow car manufacturers to remotely manage firmware updates and provides enhanced security. (Graphic courtesy of Sandia)](https://www.sandia.gov/app/uploads/sites/156/2022/11/sfota.png)
Secure-Firmware Over-the-Air (S-FOTA) Update
![QUANTUM ANSWERS — QSCOUT provides scientists free and complete access to the only open quantum computing testbed in the world based on trapped ions.](https://www.sandia.gov/app/uploads/sites/156/2022/11/qscout_rd100-1024x576.png)
Quantum Scientific Computing Open User Testbed
![FAST FILTER — Sandia developed a reusable and rapidly producible N95 respirator for medical applications in the RAPTR N95 project](https://www.sandia.gov/app/uploads/sites/156/2022/11/n95_rd100-1024x576.png)
Rapidly Producible/Reusable N95 Respirator (RAPTR)
![WEC-Sim Image](https://www.sandia.gov/app/uploads/sites/156/2022/11/wecsim_rd100.png)
WEC-Sim
![CREATIVE ENSEMBLE — Members of the Sandia research team working on Slycat.](https://www.sandia.gov/app/uploads/sites/156/2022/11/slycat_rd100-1024x576.png)
Slycat: Scalable Ensemble Analysis and Visualization
![POWERFUL NANOBODIES — Researchers have assembled extremely potent next-generation anti-COVID-19 neutralizing antibodies.](https://www.sandia.gov/app/uploads/sites/156/2022/11/antibody_rd100-1024x576.png)
Antibody Therapeutic for SARS-CoV-2
![WINDLESS — Sandia co-developed a stationary wind harvester with no external moving parts.](https://www.sandia.gov/app/uploads/sites/156/2022/11/aeromine_thumb.jpg)
AeroMINE — Stationary Harvesting of Distributed Wind Energy
![Binary 2020](https://www.sandia.gov/app/uploads/sites/156/2021/09/Binary2020.png)
Binary Solvent Diffusion for Fabrication of Large Nanoparticle Supercrystals
![Tracktable 2020](https://www.sandia.gov/app/uploads/sites/156/2021/09/Trackabk_2020.png)
Tracktable
![](https://www.sandia.gov/app/uploads/sites/156/2022/11/Hecate_thumb.png)
HECATE – Software Supply Chain and Assurance Platform
![](https://www.sandia.gov/app/uploads/sites/156/2022/11/IDAES_thumb.png)
(IDAES) Process Systems Engineering Computational Framework
![](https://www.sandia.gov/app/uploads/sites/156/2022/11/XRPBS2020-thumb.png)
XRPBS: X-ray Polarizing Beam Splitter
![Legion R&D100](https://www.sandia.gov/app/uploads/sites/156/2022/11/legion-1024x575.png)
Legion: A Data-Centric Programming System
![ADDSec — Artificial Diversity and Defense Security principal investigator Adrian Chavez](https://www.sandia.gov/app/uploads/sites/156/2022/11/RD100_1_600.jpg)
ADDSec: Artificial Diversity and Defense Security
![CHIRP — Cloud Hypervisor-forensics and Incident Response Platform principal investigator Vincent Urias](https://www.sandia.gov/app/uploads/sites/156/2022/11/Chirp2019.jpg)
CHIRP: Cloud Hypervisor-forensics and Incident Response Platform
![MIRaGE — Multiscale Inverse Rapid Group-theory for Engineered-metamaterials team member Charles Reinke, left, and principal investigator Ihab El Kady](https://www.sandia.gov/app/uploads/sites/156/2022/11/MIRaGE-2019.jpg)
MIRaGE: Multiscale Inverse Rapid Group-theory for Engineered-metamaterials
![NEDs — High-Performance Nanoantenna-Enabled Detectors team from left, Michael Goldflam, principal investigator David Peters and Anna Tauke-Pedretti (Photo courtesy of Sandia National Laboratories)](https://www.sandia.gov/app/uploads/sites/156/2022/11/NEDs.jpg)
NEDs: High-Performance Nanoantenna-Enabled Detectors
![scientist inspects substance in vials](https://www.sandia.gov/app/uploads/sites/156/2021/09/2018_detergent.jpg)
Detergent-assisted Fabrication of Multifunctional Nanomaterials
![scientist works with 3D xray contrast imaging system](https://www.sandia.gov/app/uploads/sites/156/2021/09/2018_3DXray.jpg)
Large Field-of-View Bench Top 3-D X-Ray Phase Contrast Imaging System
![artist rendering of swick zoom](https://www.sandia.gov/app/uploads/sites/156/2021/09/2018_SWiCK.jpg)
SWiCK Zoom
![LAMPS supercomputer](https://www.sandia.gov/app/uploads/sites/156/2021/09/2018_LAMMPS.jpg)
LAMMPS: Atomistic Simulation of Materials
![computer scientists collaborate in meeting](https://www.sandia.gov/app/uploads/sites/156/2021/09/2018_PowerApi.jpg)
Power API
![High-fidelity adaptive deception & emulation system](https://www.sandia.gov/app/uploads/sites/156/2021/09/2017_HADES1.jpg)
High-fidelity Adaptive Deception & Emulation System (HADES) Platform
![Solid sense gas analyzer on a chip](https://www.sandia.gov/app/uploads/sites/156/2021/09/2017_SSGA1.jpg)
SolidSense “Gas Analyzer on a Chip”
![control system for active damping of inter-area oscillations](https://www.sandia.gov/app/uploads/sites/156/2021/09/2017_CSAD1.jpg)
Control System for Active Damping of Inter-area Oscillations
![Microgrid design toolkit](https://www.sandia.gov/app/uploads/sites/156/2021/09/2017_Microgrid.jpg)
Microgrid Design Toolkit
![Ultra-wide band gap power electronic device](https://www.sandia.gov/app/uploads/sites/156/2021/09/2017_UWBG1.jpg)
Ultra-Wide Bandgap Power Electronic Devices
![falling particle receiver for concentrated solar energy](https://www.sandia.gov/app/uploads/sites/156/2021/09/2016_FPR.jpg)
Falling Particle Receiver for Concentrated Solar Energy
![ultra fast x-ray imager](https://www.sandia.gov/app/uploads/sites/156/2021/09/2016_UXI.jpg)
Ultra-fast X-ray Imager (UXI)
![transceiver for quantum keys and encription](https://www.sandia.gov/app/uploads/sites/156/2021/09/2016_TQUAKE.jpg)
Transceiver for Quantum Keys and Encryption (T-QUAKE)
![pyomo v4.1 software code](https://www.sandia.gov/app/uploads/sites/156/2021/09/2016_Pyomo.jpg)
Pyomo v4.1
![stress-induced fabrication of functionally designed nanomaterials](https://www.sandia.gov/app/uploads/sites/156/2021/09/2016_SIF.jpg)
Stress-Induced Fabrication of Functionally Designed Nanomaterials
![precision high power battery tester](https://www.sandia.gov/app/uploads/sites/156/2021/09/2016_Battery.jpg)
Precision High Power Battery Tester
![CO2 Memzyme 2015](https://www.sandia.gov/app/uploads/sites/156/2021/09/2015_memzyme.jpg)
CO2 Memzyme
![LED Pulser 2015](https://www.sandia.gov/app/uploads/sites/156/2021/09/2015_LED.jpg)
LED Pulser
![Integrated Circuit Identification 2015](https://www.sandia.gov/app/uploads/sites/156/2021/09/2015_ICID.jpg)
Integrated Circuit Identification
![Lightweight Distributed Metric Service 2015](https://www.sandia.gov/app/uploads/sites/156/2021/09/2015_LDMS.jpg)
Lightweight Distributed Metric Service
![Silicon Carbide JFET Switch 2015](https://www.sandia.gov/app/uploads/sites/156/2021/09/2015_JFET.jpg)
Silicon Carbide JFET Switch
![Membrane Projection Lithography publication snapshot 2014](https://www.sandia.gov/app/uploads/sites/156/2021/09/2014RD100_BaDx_Submission.png)
Portable Diagnostic Device for Bacillus Anthracis Detection in Ultra-Low Resource Environments
![Mantevo Suite 1.0 publication snapshot 2014](https://www.sandia.gov/app/uploads/sites/156/2021/09/2014RD100_GOMA_Submission_small.png)
GOMA 6.0
![Solar Glare Hazard Analysis Tool (SGHAT) publication snapshot 2014](https://www.sandia.gov/app/uploads/sites/156/2021/09/2014RD100_THPS-FINAL.png)
Triple Harvesting Plastic Scintillators
![2013 Membrane Projection Lithography publication snapshot](https://www.sandia.gov/app/uploads/sites/156/2021/09/2013RD100-Burckel-winningCover-sml.jpg)
Membrane Projection Lithography
![2013 Mantevo Suite 1.0 publication snapshot](https://www.sandia.gov/app/uploads/sites/156/2021/09/2013RD100-Heroux-winnerCover-sml.jpg)
Mantevo Suite 1.0
![2013 Solar Glare Hazard Analysis Tool (SGHAT) publication snapshot](https://www.sandia.gov/app/uploads/sites/156/2021/09/2013RD100-Ho-winnerCover-sml.jpg)
Solar Glare Hazard Analysis Tool (SGHAT)
![Microsystems Enabled Photovoltaics publication snapshot 2012](https://www.sandia.gov/app/uploads/sites/156/2021/09/MEPV_2012.jpg)
Microsystems Enabled Photovoltaics
![Neutristor publication snapshot 2012](https://www.sandia.gov/app/uploads/sites/156/2021/09/Neutristor_2012.jpg)
Neutristor
![Sandia Digital Microfluidic Hub publication snapshot 2012](https://www.sandia.gov/app/uploads/sites/156/2021/09/MicroHub_2012.jpg)
Sandia Digital Microfluidic Hub
![Sandia Cooler publication snapshot 2012](https://www.sandia.gov/app/uploads/sites/156/2021/09/Cooler_2012.jpg)
Sandia Cooler
![Canary publication snapshot 2011](https://www.sandia.gov/app/uploads/sites/156/2021/09/biometric_2011.png)
Biomimetic membranes for water purification
![Micro Power Source publication snapshot 2011](https://www.sandia.gov/app/uploads/sites/156/2021/09/microresonator_2011.png)
Microresonator filters and frequency references
![Multifunctional Optical Coatings publication snapshot 2011](https://www.sandia.gov/app/uploads/sites/156/2021/09/silicon_2011.png)
Ultra-high-voltage Silicon Carbide Thyristor
![Canary publication snapshot 2010](https://www.sandia.gov/app/uploads/sites/156/2021/09/canary_2010.jpg)
CANARY: Event Detection Software
![Multifunctional Optical Coatings publication snapshot 2010](https://www.sandia.gov/app/uploads/sites/156/2021/09/moc_2010.png)
Multifunctional Optical Coatings
![Acoustic Wave Biosensors publication snapshot 2010](https://www.sandia.gov/app/uploads/sites/156/2021/09/acoustic_2010.png)
Acoustic Wave Biosensors, Rapid Point-of-Care Medical Diagnostics
![Micro Power Source publication snapshot 2010](https://www.sandia.gov/app/uploads/sites/156/2021/09/mps_2010.png)
Micro Power Source
![Solution Deposition Planarization 2010](https://www.sandia.gov/app/uploads/sites/156/2021/09/superconductor_2010.png)
Solution Deposition Planarization (SDP), Superconductor Substrate Preparation Process
![Ultralow-Power Silicon Microphotonic Communications Platform 2009](https://www.sandia.gov/app/uploads/sites/156/2021/09/silicon_microphotonic_2009.png)
Ultralow-Power Silicon Microphotonic Communications Platform
![Hyperspectral Confocal Fluorescence Microscope System 2009](https://www.sandia.gov/app/uploads/sites/156/2021/09/haalal_2009.png)
Hyperspectral Confocal Fluorescence Microscope System
![Hyperspectral Confocal Fluorescence Microscope System 2009](https://www.sandia.gov/app/uploads/sites/156/2021/09/nanocoral_2009.png)
NanoCoral TM
![Artificial Retina Project 2009](https://www.sandia.gov/app/uploads/sites/156/2021/09/retinal_2009.png)
Artificial Retina Project
![SiCPower Module 2009](https://www.sandia.gov/app/uploads/sites/156/2021/09/sic_2009.png)
SiCPower Module
![Catamount N-Way 2009](https://www.sandia.gov/app/uploads/sites/156/2021/09/catamount_2009.png)
Catamount N-Way (CNW) Lightweight Kernel
![Xyce Parallel Electronic Simulator 2008](https://www.sandia.gov/app/uploads/sites/156/2021/09/xyce_2008.png)
XyceTM Parallel Electronic Simulator 4.0.2
![Silicon Micromachined Dimensional Calibration Artifact for Mesoscale Measurement Machines 2008](https://www.sandia.gov/app/uploads/sites/156/2021/09/microartifact_2008.png)
Silicon Micromachined Dimensional Calibration Artifact for Mesoscale Measurement Machines
![Superhyrophobic Coating 2008](https://www.sandia.gov/app/uploads/sites/156/2021/09/hydrophobic_2008.png)
Superhydrophobic Coating
![ArcSafe 2007](https://www.sandia.gov/app/uploads/sites/156/2021/09/arcsafe_2007.png)
ArcSafe© with Pulsed Arrested Spark Discharge
![Mode-Filtered Fiber Amplifier 2007](https://www.sandia.gov/app/uploads/sites/156/2021/09/mode_2007.png)
Mode-Filtered Fiber Amplifier
![ElectroNeedle 2007](https://www.sandia.gov/app/uploads/sites/156/2021/09/electroneedle_2007.png)
ElectroNeedle™ Biomedical Sensor Array
![Self-Assembling Process for Fabricating Tailored Thin Films 2007](https://www.sandia.gov/app/uploads/sites/156/2021/09/selfassemble_2007.png)
Self-Assembling Process for Fabricating Tailored Thin Films
![Novint Falcon 2007](https://www.sandia.gov/app/uploads/sites/156/2021/09/novint_2007.png)