Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Posted by dbos Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew L. Evans, Johan Bergsma, Andrius Merkys, Casper W. Andersen, Oskar B. Andersson | Summary: The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and […]


Continue.. Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Posted by dbos Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew L. Evans, Johan Bergsma, Andrius Merkys, Casper W. Andersen, Oskar B. Andersson | Summary: The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and […]


Continue.. Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

A parallel domain decomposition method for solving elliptic equations on manifolds

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Lizhen Qin, Feng Wang, Yun Wang, , | Summary: We propose a new numerical domain decomposition method for solving elliptic equations on compact Riemannian manifolds. One advantage of this method is its ability to bypass the need for global triangulations or grids on the manifolds. Additionally, it […]


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Seismic Traveltime Tomography with Label-free Learning

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Bo Yang, Renfang Wang, Hong Qiu, | Summary: Deep learning techniques have been used to build velocity models (VMs) for seismic traveltime tomography and have shown encouraging performance in recent years. However, they need to generate labeled samples (i.e., pairs of input and label) to […]


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Seismic Traveltime Tomography with Label-free Learning

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Bo Yang, Renfang Wang, Hong Qiu, | Summary: Deep learning techniques have been used to build velocity models (VMs) for seismic traveltime tomography and have shown encouraging performance in recent years. However, they need to generate labeled samples (i.e., pairs of input and label) to […]


Continue.. Seismic Traveltime Tomography with Label-free Learning

A Survey on Hallucination in Large Vision-Language Models

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Hanchao Liu, Wenyuan Xue, Yifei Chen, Dapeng Chen, Xiutian Zhao | Summary: Recent development of Large Vision-Language Models (LVLMs) has attracted growing attention within the AI landscape for its practical implementation potential. However, “hallucination”, or more specifically, the misalignment between factual visual content and corresponding textual generation, […]


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Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Ao Huang, Yi Zhou, Satoshi Hattori, , | Summary: Network meta-analysis (NMA) is a useful tool to compare multiple interventions simultaneously in a single meta-analysis, it can be very helpful for medical decision making when the study aims to find the best therapy among several active candidates. […]


Continue.. Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries

GAMPix: a novel fine-grained, low-noise and ultra-low power pixelated charge readout for TPCs

Posted by dbos Stanford

Kavli Affiliate: Steffen Luitz | First 5 Authors: Tom Shutt, Bahrudin Trbalic, Aldo Pena-Perez, Steffen Luitz, Mark Convery | Summary: We report on the development of a novel pixel charge readout system, Grid Activated Multi-scale pixel readout (GAMPix), which is under development for use in the GammaTPC gamma ray instrument concept. GammaTPC is being developed […]


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The ab initio amorphous materials database: Empowering machine learning to decode diffusivity

Posted by dbos Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Hui Zheng, Eric Sivonxay, Max Gallant, Ziyao Luo, Matthew McDermott | Summary: Amorphous materials exhibit unique properties that make them suitable for various applications in science and technology, ranging from optical and electronic devices and solid-state batteries to protective coatings. However, data-driven exploration and design of […]


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A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT

Posted by dbos Peking

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Siwei Zou, Zheng Cai, Feige Wang, Xiaohui Fan, Jaclyn B. Champagne | Summary: We characterize the multiphase circumgalactic medium and galaxy properties at z = 6.0-6.5 in four quasar fields from the James Webb Space Telescope A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE) […]


Continue.. A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE): Impact of Galaxies on the CGM Metal Enrichment at z > 6 Using the JWST and VLT