25 papers · ranked by Valyu relevance
Alessandro Salatiello
The remarkable performance of modern AI systems has been driven by unprecedented scales of data, computation, and energy—far exceeding the resources required by human intelligence. This disparity highlights the need for new guiding principles and motivates drawing inspiration from the fundamental organizational…
Authors not listed
Modeling of chemical reactions is essential for understanding kinetic mechanisms and predicting possible outcomes of reacting systems. Quantum mechanical calculations are accurate but often prohibitively expensive. Deep learning has emerged as a faster alternative, but progress is slowed by a fragmented software…
Qing Wang, Yong Zhang
Although microservices have physically isolated modules, they have failed to prevent the propagation and diffusion of dependencies. To trace the root cause of the inter-module coupling, this paper, starting from the impact assessment approach for module changes, proposes a conceptual method for calculating module…
Alessandro Salatiello
Coordinating multi-articulated bodies to generate purposeful movement is a formidable computational challenge. Yet the human motor system performs this task robustly in dynamic, uncertain environments, despite noisy and delayed feedback, slow actuators, and strict energetic constraints. A central question is what…
Radha Ambalavanan, R Sterling Snead, Julia Marczika, Gideon Towett + 2 more
Background Semantic interoperability remains a significant barrier in healthcare, particularly when integrating patient-reported, clinical, and genomic data to enable personalized care. Existing models rarely focus on patient-centered, ontology-driven front-end architectures based on widely adopted standardized medical…
Dylan Conklin, Ji-Ann Lee, Michael Palazzolo, Steven M. Dubinett + 1 more
Targeted knock-in technologies have enabled precise insertion of reporters, affinity tags, degrons, and other functional payloads into endogenous genomic loci. Over the past decade, a diverse collection of genome engineering strategies has emerged, including approaches based on homology-directed repair (HDR)…
Zhengda Wu, Jie Zhang, Agnieszka Konys
Consumer Electronics (CE) currently face dual pressures: the growing demand for personalization and multi-scenario usage, and the need to enhance product sustainability. Traditional single-function designs struggle to adapt to these changes, leading to resource underutilization and the generation of significant…
Akhil Sharma, Monu Sharma, Sonu Sharma, Vikas Sharma + 3 more
The recent development in polymer science has gone beyond the traditional linear and randomly functionalizable macromolecules to the architected polymer systems, which integrate modular synthesis and dynamic responsiveness. Although the literature related to polymer synthesis and stimuli-responsive materials and…
Cesar Cepeda
The twelve hallmarks of aging as defined by 1) represent the primary, antagonistic, and integrative mechanisms driving biological aging. To our knowledge, no open-source preclinical framework has yet attempted to coordinate all 12 official hallmarks in a single modular, non-integrating, safety-gated design validated…
Xiaokang Wang, Sirui Tang, Qilong Wu, Peter C. Innis + 1 more
Title: Highlights 1. A “Modular Electrocatalysis” (ME) framework is proposed to integrate fragmented research into a unified platform for global carbon and nitrogen cycling. 2. Customized design strategies for module units are established to enable precise control over feedstock, conversion, and energy supply. 3.…
Misbah Mehboob Awan, Muhammad Waseem Anwar, Wasi Haider Butt, Farooque Azam + 1 more
Embedded systems often require multiple representations for design, verification, and implementation, ranging from low-level programming languages to high-level formal models and domain-specific abstractions. Generally, synchronization among different representations or notations is achieved manually, a process that is…
Authors not listed
The analysis of molecular dynamics (MD) simulations is a critical but fragmented process, often requiring researchers to chain together multiple software tools and write bespoke scripts for routine structural and dynamic analyses. This workflow complexity creates a significant barrier to efficiency, standardization…
Eunha Jeon, Sujin Hong, Seung-Gyun Woo, Dae-Hee Lee
Orthogonal gene expression systems based on bacteriophage-derived T7 RNA polymerase (T7 RNAP) offer a promising strategy for decoupling engineered transcription from host regulatory networks. Although recent advances have enabled productive T7 RNAP-mediated expression in Saccharomyces cerevisiae, strategies for…
Shuo Jiang, Jianxi Luo
Design Structure Matrix (DSM) modularization, the task of partitioning system elements into cohesive modules, is a fundamental combinatorial challenge in engineering design. Traditional methods treat modularization as a pure graph optimization, without access to the engineering context embedded in the system. Building…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Chunqing (Tony) Liang, Tajveer Grewal, Asees Singh, Amrit Singh
Multimodal biomedical studies increasingly profile multiple molecular and clinical modalities from the same samples, creating new opportunities for disease prediction and biological discovery. However, benchmarking multimodal integration methods remains difficult because studies often use inconsistent preprocessing…
Authors not listed
Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
Lingchao Mao, Mingu Kwak, Amir Hossein Kazemipour Ashkezari, Zhenhai Li + 6 more
Proteins are dynamic molecular machines whose functions are determined by their structures. While static structures can offer initial insights or hypotheses about protein function, they are often insufficient for a detailed mechanistic understanding. Molecular dynamics (MD) simulations provide atomistic view of…
Daniel Jackson
A core principle of object orientation -- that the functionality of a system can be partitioned amongst objects that correspond to individuals in the problem domain -- has influenced how software has been specified, designed and implemented for more than fifty years. Later developments in software engineering sought to…
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This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
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Untargeted metabolomics is a powerful approach for exploring the chemical diversity and dynamics of biological systems. However, the types of questions that can be addressed depend not only on experimental design but also on the data processing and analysis workflows employed, many of which require advanced…
Prachi Gupta, William J. Riehl, Mikaela Cashman, Dylan Chivian + 6 more
Constructing multi-step bioinformatics workflows, from read quality control through genome assembly to functional annotation, requires expertise in both biology and computational tool selection, creating a bottleneck for scalable and reproducible analysis. We present the KBase Research Agent, a multi-agent system for…
Marina Pozhidaeva, Stephan Schreiber, Kristin Schubert, Wibke Busch + 2 more
Toxicological omics studies require comprehensive metadata to support reproducibility, inter-operability, and regulatory reuse. However, metadata requirements differ across public repositories, reporting frameworks, and laboratory workflows, resulting in inconsistent annotation and limited data integration. To address…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Ryś, Arkadiusz, Lima, Lucas + 6 more
- A model management strategy to store and provide access to knowledge about system engineering workflows that uses ontology-based knowledge graphs. - An ontology that defines basic concepts and their relationships to support the management of system engineering tasks. - A toolchain that provides capabilities for…