A5081670120- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Radiation Therapy and Dosimetry
- Advanced Neural Network Applications
- Computational Physics and Python Applications
- Advanced Memory and Neural Computing
- Advancements in PLL and VCO Technologies
- Advanced Radiotherapy Techniques
- Quantum Chromodynamics and Particle Interactions
- Semiconductor Lasers and Optical Devices
- Photonic and Optical Devices
- Advanced Computational Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Ferroelectric and Negative Capacitance Devices
- Safety and Risk Management
- Radiation Effects in Electronics
- Radiation Shielding Materials Analysis
- Machine Learning and ELM
- Distributed and Parallel Computing Systems
- Domain Adaptation and Few-Shot Learning
- DNA Repair Mechanisms
- Maritime Navigation and Safety
- Ammonia Synthesis and Nitrogen Reduction
- Semiconductor materials and devices
Washington University in St. Louis
2019-2024
Institute of Computing Technology
2020-2023
University of Chinese Academy of Sciences
2020-2023
Chinese Academy of Sciences
2020-2023
Southern Methodist University
2015-2021
Binzhou Technician College
2018
Yangzhou Polytechnic Institute
2018
Hubei Polytechnic University
2013
Abstract Purpose The purpose of this work is to (a) demonstrate the feasibility delivering a spread‐out Bragg peak (SOBP) proton beam in ultra‐high dose rate (FLASH) using therapy synchrocyclotron as major step toward realizing an experimental platform for preclinical studies, and (b) evaluate response four models ionization chambers such radiation field. Methods A clinical Mevion HYPERSCAN ® was adjusted delivery. Protons with nominal energy 230 MeV were delivered pulses temporal width...
Convolutional neural networks (CNNs) have become the state-of-the-art technique in many classification tasks IoT system. However, low-power and area-constraint edge devices are unable to afford expensive cost of CNNs. Resistive random access memory (RRAM) is attractive for establishing CNN accelerator at end due features scalability, in-situ dot-product. mapping a network architecture onto general-purpose RRAM suffers severe issue resource underutilization. The quantization offers an...
Bit-serial architectures (BSAs) are becoming increasingly popular in low power neural network processor (NNP) design. However, the performance and efficiency of state-of-the-art BSA NNPs heavily depending on distribution ineffectual weight-bits running network. To boost third-party accelerators, this work presents Bit-Pruner, a software approach to learn BSA-favored networks without resorting hardware modifications. The techniques proposed not only progressively prune but also structure...
Purpose The radiosensitization properties of gold nanoparticles (GNPs) are investigated using a simple Geant4 cell model considering realistic geometry and clustering algorithm to characterize the number DNA double‐strand breaks (DSBs). Materials methods A mixed‐physics approach is taken for accurate modeling low‐energy photon interactions in different regions Geant4‐DNA physics within cell, Livermore gold. Density‐based spatial applications with noise (DBSCAN), algorithm, used directly...
Abstract In this work, we conducted experiments to validate the proton physics models of Geant4 (version 10.6). The stopping power ratios (SPRs) 11 inserts, such as acrylic, delrin, high density polyethylene, and polytetrafluoroethylene, etc, were measured using a superconducting synchrocyclotron that produces scattering beam. SPRs inserts also calculated based on simulation with six lists, i.e. QGSP_ FTFP_ BERT, QGSP_BIC_HP, QGSP_BIC, QGSP_FTFP_BERT, QSGP_BERT, QBBC. compared experimental...
This paper presents several component prototypes towards a low-latency, small-form-factor optical link designed for the ATLAS Liquid Argon Calorimeter Phase-I trigger upgrade. A prototype of custom-made dual-channel transmitter module, Miniature Transmitter (MTx), with separate sub-assemblies (TOSAs) has been demonstrated at data rates up to 8 Gbps per channel. Vertical-Cavity Surface-Emitting Laser (VCSEL) driver ASIC developed and is used in current MTx prototypes. serializer prototype,...
The aim of this work is to develop and validate a computational model investigate direct indirect DNA damage by directly quantifying strand breaks. A detailed geometrical target was created in the Monte Carlo toolkit Geant4 represent nucleus single human cell with complete genome. calculation framework simulate double-strand breaks (DSBs) implemented using Geant4-DNA extension. ellipsoidal compacted structure representing fibroblast G0/G1 phase cycle total 6 Gbp within This geometry...
Resistive RAM (ReRAM) is a promising device to realize the Computing in Memory (CiM) architecture, suitable for power-constrained IoT systems. Because of low leakage, dot-production operations ReRAM crossbars dominate chip power, especially when implementing low-precision neural networks. This work investigates correlation between cell resistance state and crossbar operation proposes State-Aware Accelerator (SARA) architecture energy-efficient With proposed state-aware network training...
To investigate the radiosensitization properties of gold nanoparticles (GNPs) and better understand intricate deoxyribonucleic acid (DNA) damage induction mechanisms involved in GNP-aided radiotherapy, a single cell model with complete human genome based on Geant4 Monte Carlo toolkit was applied.A Geant4-DNA implemented to simulate direct indirect DNA generated physical chemical stages. In stage, mixed-physics approach taken by using water Livermore gold. Water radiolysis created posteriorly...
Pre-trained language models (PLMs) are engineered to be robust in contextual understanding and exhibit outstanding performance various natural processing tasks. However, their considerable size incurs significant computational storage costs. Modern pruning strategies employ one-shot techniques compress PLMs without the need for retraining on task-specific or otherwise general data; however, these approaches often lead an indispensable reduction performance. In this paper, we propose SDS, a...
Radiochromic film (RCF) dosimeters with their high spatial resolution and tissue equivalent properties are conveniently used for two-dimensional small-field dosimetry. OC-1 is a new model of RCF dosimeter that was commercially introduced recently. Due to its novelty there need characterize response in various radiation beam types.
We present the design and test results of a Drivers Limiting AmplifierS ASIC operating at 10 Gbps (DLAS10) three Miniature Optical Transmitter/Receiver/Transceiver modules (MTx+, MRx+, MTRx+) based on DLAS10. DLAS10 can drive two Transmitter Sub-Assemblies (TOSAs) Vertical Cavity Surface Emitting Lasers (VCSELs), receive signals from Receiver (ROSAs) that have no embedded limiting amplifiers, or VCSEL TOSA signal ROSA, respectively. Each channel consists an input Continuous Time Linear...
Abstract With the rapid development of modern science and technology, ship design construction are becoming more large-scale, professional intelligent, degree integration, intelligence modularization port terminal equipment is also getting higher higher. Smart ships wisdom The ports has become an important trend in shipping industry. Although rope materials have been greatly improved, main mooring method still relies on traditional operation manual [1], which low efficiency, high danger risk...
Bit-serial architectures (BSAs) are becoming increasingly popular in low-power neural network processor (NNP) designs for edge scenarios. However, the performance and energy efficiency of state-of-the-art BSA NNPs heavily depends on both proportion distribution ineffectual weight bits networks (NNs). To boost typical accelerators, we present Bit-Pruner, a software approach to learn BSA-favored NNs without resorting hardware modifications. Bit-Pruner not only progressively prunes but also...
We present a dual-channel optical transmitter (MTx+)/transceiver (MTRx+) for the front-end readout electronics of high-energy physics experiments. MTx+ utilizes two Transmitter Optical Sub-Assemblies (TOSAs) and MTRx+ TOSA Receiver (ROSA). Both receive multimode fibers with standard Lucent Connectors (LCs) as interface can be panel or board mounted to motherboard Enhanced Small Form-factor Pluggable (SFP+) connector electrical interface. employ Vertical-Cavity Surface-Emitting Laser (VCSEL)...
Fire fighting is one of the key monitoring targets campus security.To improve maintenance and management fire control facilities evacuation action efficiency, with a training center as an example, existing automatic detection alarm, linkage system on basis application Internet things technology, designed to install ZigBee wireless detector system, reliability data transmission.Design intelligent realize exchange center, combined safety platform, achieve comprehensive security controls.
Purpose: To develop a Monte Carlo (MC) therapeutic dose calculation toolkit of recently released ring gantry linac in Geant4 (Version 10.7) for secondary validation radiotherapy plan. Methods: For the Halcyon (Varian Medical Systems), DSMLC was modeled and radiation transport patient phantom simulated using Geant4. Radiation source sampled from phase space file head above DSMLC. The obtained cloud-based simulator, VirtuaLinac (VL) provide by Varian. Dosimetric profiles different square field...
Multi-task learning systems are commonly adopted in many real-world AI applications such as intelligent robots and self-driving vehicles. Instead of improving single-network performance, this work proposes a specialized Multi-Task Deep Learning Accelerator architecture, MT-DLA, to improve the performance concurrent networks by exploiting shared feature parameters across these models. It is shown our evaluation with realistic multi-task workloads, MT-DLA dramatically eliminates memory...