A5049621423- Diamond and Carbon-based Materials Research
- High-pressure geophysics and materials
- Machine Learning in Materials Science
- Scientific Computing and Data Management
- Atomic and Subatomic Physics Research
- Topic Modeling
- Transportation Systems and Infrastructure
- Computational Drug Discovery Methods
- Nonlinear Optical Materials Research
- Adversarial Robustness in Machine Learning
- Ethics and Social Impacts of AI
- Semantic Web and Ontologies
- Software System Performance and Reliability
- Carbon Nanotubes in Composites
- Innovative Microfluidic and Catalytic Techniques Innovation
- Business Process Modeling and Analysis
- Software Engineering Research
Massachusetts Institute of Technology
2022-2023
University of California, Berkeley
2018-2020
Lawrence Berkeley National Laboratory
2018-2019
Achieving autonomous multi-step synthesis of novel molecular structures in chemical discovery processes is a goal shared by many researchers. In this Comment, we discuss key considerations what an ideal platform may look like and the apparent state art. While most hardware challenges can be overcome with clever engineering, other will require advances both algorithms data curation.
Dynamic nuclear polarization via contact with electronic spins has emerged as an attractive route to enhance the sensitivity of magnetic resonance (NMR) beyond traditional limits imposed by field strength and temperature. Among various alternative implementations, use nitrogen vacancy (NV) centers in diamond - a paramagnetic point defect whose spin can be optically polarized at room temperature attracted widespread attention, but applications have been hampered need align NV axis external...
Understanding the origins of spin lifetimes in hybrid quantum systems is a matter current importance several areas information and sensing. Methods that spectrally map relaxation processes provide insight into their origin can motivate methods to mitigate them. In this paper, using combination hyperpolarization precision field cycling over wide range (1mT-7T), we frequency dependent prototypical system 13C nuclear spins diamond coupled Nitrogen Vacancy centers. Nuclear through optically...
Abstract Methods of optical dynamic nuclear polarization open the door to replenishable hyperpolarization spins, boosting their magnetic resonance/imaging signatures by orders magnitude. Nanodiamond powder rich in negatively charged nitrogen vacancy defect centers has recently emerged as one such promising platform, wherein 13 C nuclei can be hyperpolarized through optically pumped defects completely at room temperature. Given compelling possibility relaying this external liquids, there is...
Learning molecular representation is a critical step in machine learning that significantly influences modeling success, particularly data-scarce situations. The concept of broadly pre-training neural networks has advanced fields such as computer vision, natural language processing, and protein engineering. However, similar approaches for small organic molecules have not achieved comparable success. In this work, we introduce novel strategy, substrate scope contrastive learning, which learns...
Ross John Anderson, Professor of Security Engineering at University Cambridge, discusses software obsolescence with host Priyanka Raghavan. The episode examines risks associated obsolete software, policy and laws in the EU, offers advice for maintainers to hedge against obsolescence.
Presents an interview conducted with James Smith of Bugsnag regarding software bugs and quality. Host Priyanka Raghavan spoke on topics including causes, types, history bugs; user experience environments causing different measuring, benchmarking, fixing based data. We provide summary excerpts below; to hear the full interview, visit http://www.se-radio.net or access our archives via RSS at http://feeds.feedburner.com/se-radio