25 papers · ranked by Valyu relevance
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li + 2 more
'Andrea Tagliasacchi'] With the advent of Neural Radiance Fields (NeRF), neural networks can now render novel views of a 3D scene with quality that fools the human eye. Yet, generating these images is very computationally intensive, limiting their applicability in practical scenarios. In this paper, we propose a…
Tian Lu, Qinxue Chen
Energy decomposition analysis (EDA) is an important method to explore the nature of interaction between fragments in a chemical system. It can decompose the interaction energy into different physical components to understand the factors that play key roles in the interaction. This work proposes an energy decomposition…
Anna Vathrakokoili Pournara, Zhichao Miao, Ozgur Yilimaz Beker, Nadja Nolte + 2 more
Cell-type deconvolution methods aim to infer cell composition from bulk transcriptomic data. The proliferation of developed methods, coupled with inconsistent results obtained in many cases, highlights the pressing need for guidance in the selection of appropriate methods. Additionally, the growing accessibility of…
Xiaoyang Lyu, Chirui Chang, Peng Dai, Y.‐M. SUN + 1 more
Scene reconstruction from multi-view images is a fundamental problem in computer vision and graphics . Recently, neural implicit surface reconstruction methods such as VolSDF and NeuS have been proposed to address this problem and have achieved high- * Equal contribution. † Corresponding author. quality results.…
Zhipeng Li, Yong Long, Il Yong Chun
Purpose: Dual-energy computed tomography (DECT) has been widely used in many applications that need material decomposition. Image-domain methods directly decompose material images from high- and low-energy attenuation images, and thus, are susceptible to noise and artifacts on attenuation images. The purpose of this…
Hayley Green, Bjorn Espedido, Rogine Ligot, Slade O. Jensen + 1 more
Accurate determination of the post-mortem interval (PMI) is critical in forensic casework. Most studies conclude that PMI determinations are dependent on local climatic and geographical factors. Despite this, there is little data in an Australian environment outside of entomological studies. In the absence of insect…
Joyce Mudondo, Hoe-Suk Lee, Yunhee Jeong, Tae Hee Kim + 7 more
'Bong Hyun Sung' 'See-Hyoung Park' 'Kyungmoon Park' 'Hyun Gil Cha' 'Young Joo Yeon' 'Hee Taek Kim'] Polyethylene terephthalate (PET) is a plastic material commonly applied to beverage packaging used in everyday life. Owing to PET’s versatility and ease of use, its consumption has continuously increased, resulting in…
Taiki Mori, Ryota Aoyagi, Hiroki Taga, Yoshimi Sakai
The tea bag method was developed to provide uniform litter bags that enable comparison of organic matter decomposition rates on a large scale. However, it remains uncertain whether tea bag decomposition in response to wetness is representative of that of natural litters. We performed incubation experiments to examine…
Ali Abdollahzadeh, Alejandra Sierra, Jussi Tohka
We develop a cylindrical shape decomposition (CSD) algorithm to decompose an object, a union of several tubular structures, into its semantic components. We decompose the object using its curve skeleton and restricted translational sweeps. For that, CSD partitions the curve skeleton into maximallength sub-skeletons…
Qingzhao Chu, Xiaoya Chang, Kang Ma, Xiaolong Fu + 1 more
A neural network potential (NNP) is developed to investigate the complex reaction dynamics of RDX thermal decomposition. Our NNP model is proven to possess good computational efficiency and retain the ab initio accuracy, which allows the investigation of the entire decomposition process of bulk RDX crystal from an…
Hiori Kino, Dam Hieu, Takashi Miyake, Riichiro Mizoguchi
As interdisciplinary science is flourishing because of materials informatics and additional factors; a systematic way is required for expressing knowledge and facilitating communication between scientists in various fields. A function decomposition tree is such a representation, but domain scientists face difficulty in…
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
—Dual energy computed tomography (DECT) imaging plays an important role in advanced imaging applications due to its material decomposition capability. Image-domain decomposition operates directly on CT images using linear matrix inversion, but the decomposed material images can be severely degraded by noise and…
Irene Mendez Guerra, Deren Y. Barsakcioglu, Dario Farina
Robustness to non-stationary conditions is essential to develop stable and accurate wearable neural interfaces. We propose a novel adaptive electromyography (EMG) decomposition algorithm that builds on blind source separation methods by leveraging the Kullback-Liebler divergence and kurtosis of the signals as metrics…
Taiki Mori, Toru Hashimoto, Yoshimi Sakai
It is acknowledged that exogenous nutrient addition often stimulates early-stage litter decomposition in forests and late-stage decomposition is generally suppressed by nitrogen addition, whereas the interactive effects of nutrient addition and abiotic environmental factors, such as climate, on decomposition remain…
Amir Akbari, Zachary B. Haiman, Bernhard O. Palsson
Understanding the dynamics of biological systems in evolving environments is a challenge due to their scale and complexity. Here, we present a computational framework for timescale decomposition of biochemical reaction networks to distill essential patterns from their intricate dynamics. This approach identifies…
Siti Baidurah, Abdel-Hamid I. Mourad
Biodegradable polymers are materials that can decompose through the action of various environmental microorganisms, such as bacteria and fungi, to form water and carbon dioxide. The biodegradability characteristics have led to a growing demand for the accurate and precise determination of the degraded polymer…
Elisa I. García-López, Narimene Aoun, Giuseppe Marcì, Fabio Ganazzoli + 1 more
'Fabio Ganazzoli' 'Giuseppina Raffaini'] Plastics have become indispensable in modern society; however, the proliferation of their waste has become a problem that can no longer be ignored as most plastics are not biodegradable. Depolymerization/degradation through sustainable processes in the context of the circular…
Jonas Rein, Jonathan M. Meinhardt, Julie L. Hofstra Wahlman, Matthew S. Sigman + 1 more
Accurate prediction of the sensitivity properties of high-energy materials (HEMs) and the study of their decomposition mechanisms are two major focuses within energetics research. Due to the hazards associated with the synthesis and handling of energetic materials, predictive models for HEM sensitivity are of great…
Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang + 2 more
'Yong Liu'] Recently, neural implicit surfaces have become popular for multi-view reconstruction. To facilitate practical applications like scene editing and manipulation, some works extend the framework with semantic masks input for the object-compositional reconstruction rather than the holistic perspective. Though…
Mansour Taleshi, Dennis Yeung, Francesco Negro, Ivan Vujaklija
High-density surface electromyography (HD-sEMG) decomposition offers insights into the neural drive through observation of individual motor units (MUs). However, ensuring that this method remains reliable under real-world signal degradations is crucial for its broader application. Therefore, we investigated the impact…
Egheosa Ogbomo, Fakhrul H. Bhuiyan, Carlos Ayestaran Latorre, Ashlie Martini + 1 more
The growth of protective tribofilms from lubricant antiwear additives on rubbing surfaces is initiated by mechanochemical decomposition reactions. These processes are not well understood at the molecular scale for many important additives, such as tricresyl phosphate (TCP). One aspect that needs further clarification…
Yvan Baldera-Moreno, Valentina Pino, Amelia Farres, Aparna Banerjee + 5 more
'Felipe Gordillo' 'Rodrigo Andler' 'Daniel Gagnon' 'Georges Abdul-Nour' 'Phuong Nguyen-Tri'] The strong environmental impact caused by plastic pollution has led research to address studies from different perspectives. The mathematical modeling of the biodegradation kinetics of solid materials is a major challenge since…
David Kornberger, Tanja Paatsch, Magnus Schmidt, Ulrike Salat
Poly(ethylene terephthalate) (PET) is a very valuable and beneficial material for industrial purposes, with various different applications. Due to the high annual production volume of over 50 million tons worldwide and the indiscriminate disposal by consumers, the polymers accumulate in the environment, causing…
Youssef Abdelhamid Mabrouk, Nehzat Safaei, Diddo Diddens, Felix Hanke + 2 more
The development of reliable computational methods for novel battery materials has become essential due to the recently intensified research efforts on more sustainable energy storage materials. Here, we use a recently developed framework allowing to consistently incorporate quantum-mechanical activation barriers to…
Rachel Szpara, Alexander Goyder, Michael Porter, Helen Hailes + 1 more
Pentose and hexose sugars are abundant constituents of waste biomass, making them sustainable, chiral building blocks for organic synthesis. The demand for chiral saturated heterocyclic rings from the pharmaceutical industry is increasing as they provide well-defined three-dimensional frameworks that show increased…