1.

Record Nr.

UNINA990002753530403321

Titolo

An income approach to accounting theory. / by autori vari

Pubbl/distr/stampa

Englewood Cliffs : Prentice Hall, 1964

Locazione

ECA

Collocazione

2-2-22-RA

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9911019766303321

Titolo

Combinatorial materials science / / edited by Balaji Narasimhan, Surya K. Mallapragada, Marc D. Porter

Pubbl/distr/stampa

Hoboken, N.J., : Wiley-Interscience, c2007

ISBN

9786611002206

9781281002204

1281002208

9780470140475

047014047X

9780470140468

0470140461

Descrizione fisica

1 online resource (247 p.)

Altri autori (Persone)

NarasimhanBalaji <1975->

MallapragadaSurya

PorterM. D (Marc D.)

Disciplina

620.1/1

Soggetti

Materials science

Combinatorial chemistry

Computer science

Combinatorial analysis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.



Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

COMBINATORIAL MATERIALS SCIENCE; CONTENTS; Preface; Acknowledgments; Contributors; 1. Combinatorial Materials Science: Measures of Success; 2. Experimental Design in High-Throughput Systems; 3. Polymeric Discrete Libraries for High-Throughput Materials Science: Conventional and Microfluidic Library Fabrication and Synthesis; 4. Strategies in the Use of Atomic Force Microscopy as a Multiplexed Readout Tool of Chip-Scale Protein Motifs; 5. Informatics Methods for Combinatorial Materials Science; 6. Combinatorial Approaches and Molecular Evolution of Homogeneous Catalysts

7. Biomaterials Informatics8. Combinatorial Methods and Their Application to Mapping Wetting-Dewetting Transition Lines on Gradient Surface Energy Substrates; 9. Combinatorial Materials Science: Challenges and Outlook; Index

Sommario/riassunto

Combinatorial Materials Science describes new developments and research results in catalysts, biomaterials, and nanomaterials, together with informatics approaches to the analysis of Combinatorial Science (CombiSci) data. CombiSci has been used extensively in the pharmaceutical industry, but there is enormous potential in its application to materials design and characterization. Addressing advances and applications in both fields, Combinatorial Materials Science:  Integrates the scientific fundamentals and interdisciplinary underpinnings required to develop and apply Comb