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48,453 grants matching “machine learning”
ADVANCING PHYSICS-INFORMED MACHINE LEARNING FOR THE DISCOVERY OF STRUCTURE-PROPERTY-PERFORMANCE LINKAGES IN MULTIPHASE HETEROGENEOUS ENERGETIC COMPOUNDS
$600,000Rector & Visitors Of The University Of Virginia · · FY2025 · Department of Energy
CIF: Small: NSF-DST: Zak-OTFS - How to Make Communication and Radar Sensing More Predictable in 6G
$600,000Arthur Calderbank · Duke University · · FY2024 · CSE
SHF: Medium: Collaborative Research: Photonic Neural Network Accelerators for Energy-efficient Heterogeneous Multicore Architectures
$600,000Ahmed Louri · George Washington University · · FY2019 · CSE
CIF: Small: Generic Building Blocks of Communication-efficient Computation Networks - Fundamental Limits
$600,000Syed A Jafar · University Of California-Irvine · · FY2023 · CSE
GPU-Accelerated Parallel Computer for Life Sciences Research
$600,000Jarrod Anson Smith · Vanderbilt University · S10 · FY2022 · OD
THE GOAL OF THIS PROJECT IS TO DEVELOP AND IMPLEMENT INNOVATIVE SOLUTION COMBUSTION SYNTHESIS (SCS) METHODS FOR PREPARING HIGHLY RADIOACTIVE PLUTONIUM (PU) AND AMERICIUM (AM) TARGETS, WHICH ARE ESSENTIAL FOR NUCLEAR SCIENCE MEASUREMENTS. THE CENTRAL HYPOTHESIS IS THAT THE SELF-GENERATED HEAT DURING RAPID SCS CAN PRODUCE ROBUST RADIOACTIVE TARGETS MORE EFFECTIVELY THAN TRADITIONAL METHODS. TO ADDRESS TECHNICAL CHALLENGES SUCH AS THE COMPLEXITIES AND STABILITIES OF PU AND AM OXIDES AT THE NANOSCALE AND THE SCARCITY OF ISOTOPICALLY PURE PU AND AM, EXTENSIVE INVESTIGATIONS WILL BE CONDUCTED USING SURROGATE MATERIALS, COMPLEMENTED BY MOLECULAR DYNAMICS (MD) SIMULATIONS AND MACHINE LEARNING (ML) METHODS. THE RESEARCH OBJECTIVES INCLUDE INVESTIGATING HIGH-THROUGHPUT SCS REACTIONS OF SURROGATE AND ACTINIDE OXIDES, CONDUCTING ATOMISTIC SIMULATIONS TO UNDERSTAND SCS MECHANISMS, AND USING ML TO OPTIMIZE SYNTHESIS CONDITIONS. ADDITIONALLY, THE PROJECT AIMS TO PREPARE AND CHARACTERIZE THIN FILM TARGETS AND EDUCATE A STUDENT BODY TO STRENGTHEN THE WORKFORCE PIPELINE TO NATIONAL LABORATORIES. THIS PROJECT WILL LEVERAGE ADVANCED SCIENTIFIC INSTRUMENTATION AND FACILITIES AT THE UNIVERSITY OF NOTRE DAME TO ACHIEVE ITS GOALS.
$600,000University Of Notre Dame Du Lac · · FY2025 · Department of Energy
CAREER: Unravel the Effect of Cerebral Folding on Human Brain Organoids Using an on-Chip System
$600,000Yu Huang · Utah State University · · FY2022 · ENG
CAREER: Integrating Heterogenous Health Data for Improved Predictive and Explainable Methods
$600,000Ritambhara Singh · Brown University · · FY2025 · CSE
Elucidation of RNA-Based Mechanisms of Long-Term Memory Storage
$600,000David L Glanzman · University Of California-Los Angeles · · FY2022 · BIO
CAREER: Towards a theory of machine learning with strategic interactions
$600,000Nika Haghtalab · University Of California-Berkeley · · FY2022 · CSE
EXCITON SELF-TRAPPING IN LOW-DIMENSIONAL ORGANIC METAL HALIDE HYBRID MATERIALS FROM GW/BETHE-SALPETER CALCULATIONS AND MACHINE-LEARNING-BASED FORCE FIELDS
$600,000University Of California, Merced · · FY2025 · Department of Energy
FET: Small: A complexity theoretic lens on near- and medium-term quantum devices
$600,000Anurag Anshu · Harvard University · · FY2025 · CSE
Properties of Approximate Inference for Complex High-Dimensional Models
$600,000Iain M Johnstone · Stanford University · · FY2018 · MPS
Collaborative Research: AF: Medium: Continuous Concrete Complexity
$600,000Rocco A Servedio · Columbia University · · FY2022 · CSE
CAREER: Hierarchical Reinforcement Learning Framework for Safe Dynamic Bipedal Locomotion
$600,000Ayonga Hereid · Ohio State University, The · · FY2022 · ENG
CAREER: Strategic and Equity Considerations in Machine Learning
$600,000Jamie Morgenstern · University Of Washington · · FY2021 · CSE
Collaborative Research: III: Medium: Neural Networks Meet Bandits: Theory, Algorithms and Applications
$600,000Quanquan Gu · University Of California-Los Angeles · · FY2024 · CSE
RI: Small: Toward Maximally Efficient Sampling and Optimization for Decentralized Learning: Beyond Markovian Regime
$600,000Do Young Eun · North Carolina State University · · FY2024 · CSE
Collaborative Research: III: Medium: Neural Networks Meet Bandits: Theory, Algorithms and Applications
$600,000Huazheng Wang · Oregon State University · · FY2024 · CSE
III: Small: Machine Learning on Graphs with Distribution Shifts
$600,000Pan Li · Georgia Tech Research Corporation · · FY2025 · CSE
CSSI Elements: Multi-GPU and Network Modeling and Simulation in SST
$600,000Abdel-Hameed A Badawy · New Mexico State University · · FY2025 · CSE
ITR: Algorithms: From Theory to Application
$600,000Guy E Blelloch · Carnegie Mellon University · · FY2000 · CSE
SaTC: CORE: Small: Doubly Efficient PIR and Encrypted RAM Computation
$600,000Daniel Wichs · Northeastern University · · FY2024 · CSE
STEM ML4MATH: INTEGRATING MACHINE LEARNING AND MATHEMATICS EDUCATION USING A CONCRETENESS FADING APPROACH
$600,000University Of Florida · · FY2024 · Department of the Navy
Elements: LHCb Upgrade II: Tackling the 200 Tb/s challenge
$600,000Eluned Smith · Massachusetts Institute Of Technology · · FY2024 · CSE