A5102769868- Connective tissue disorders research
- Catalytic C–H Functionalization Methods
- Parallel Computing and Optimization Techniques
- Synthesis and Catalytic Reactions
- Software Engineering Research
- Cyclopropane Reaction Mechanisms
- Software Testing and Debugging Techniques
Changzhou University
2025
Catalytic Materials (United States)
2025
Menlo School
2024
Ultragenyx Pharmaceutical (United States)
2023
This paper introduces two extensions to the popular PyTorch machine learning framework, TorchDynamo and TorchInductor, which implement torch.compile feature released in 2. is a Python-level just-in-time (JIT) compiler that enables graph compilation programs without sacrificing flexibility of Python. It achieves this by dynamically modifying Python bytecode before execution extracting sequences operations into an FX graph, then JIT compiled using one many extensible backends. TorchInductor...
This work describes an efficient Pd-catalyzed annulation process of acetal alkynes, aryl iodides, and di-t-butyl diaziridinone to afford a variety 3-formylindoles their derivatives. The reaction likely proceeds through...
This work describes a highly efficient Pd-catalyzed annulation process of aryl iodides, ynamides, and di-tert-butyldiaziridinone. A wide variety 3-aminoindoles bearing various functional groups have been readily obtained in up to 99% yield. 3-Aminoindole functionalities can also be easily introduced into medicinally important molecules. The reaction likely proceeds through sequential regioselective Heck C-H activation form pallada(II)cycle species, which is bisaminated with diaziridinone via...